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Method and system for searching commodities based on multi-modal shopping preference

A multi-modal, commodity technology, applied in character and pattern recognition, sales/rental transactions, instruments, etc., can solve the problem that the multi-modal feature space is not and cannot fully acquire users.

Active Publication Date: 2018-11-16
SHANDONG UNIV
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  • Application Information

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Problems solved by technology

[0015] On the one hand, the multimodal feature space obtained with the above method is not built around ranking;
[0016] On the other hand, measuring the relationship between the query and the product and the product and the user separately cannot fully capture the complex relationship between the user, the query and the product

Method used

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  • Method and system for searching commodities based on multi-modal shopping preference
  • Method and system for searching commodities based on multi-modal shopping preference
  • Method and system for searching commodities based on multi-modal shopping preference

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Embodiment Construction

[0092] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0093] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0094] Most current item retrieval methods ignore users' visual preferences for items. In this invention, we pr...

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Abstract

The invention discloses a method and system for searching commodities based on multi-modal shopping preference. The method comprises the following steps of: constructing a positive correlation data set and a negative correlation data set for all commodities; establishing a multi-modal characteristic space, and obtaining a final implicit representation of the visual characteristics and final implicit representation of the text characteristics of each commodity in the multi-modal characteristic space; merging the final implicit representation of the visual characteristics and final implicit representation of the text characteristics of each commodity to obtain the implicit representation of each merged commodity; mapping the implicit representation into an implicit space based on the transformation matrix of a translation model to obtain an implicit representation vector of each commodity after mapping; mapping a new query text into the implicit space by using the transformation matrix based on the translation model, calculating the distances between the implicit representation vector of the commodity corresponding to the new query text and the implicit representation vector of eachcommodity; sorting the distances according to the small-to-large order, and outputting the commodities at the top of the sorting, the number of which is a set value, as the commodity searching result.

Description

technical field [0001] The invention relates to a product retrieval method and system based on multi-modal shopping preferences. Background technique [0002] With the vigorous development of e-commerce, the way people buy goods has been greatly changed. The convenience of online shopping enables e-commerce users to buy most of the goods they want by just moving their fingers. Generally speaking, current product search engines (provided by e-commerce sites such as Tmall and JD.com) require users to express their shopping needs through text queries, and then return a sorted product list according to the degree of relevance. The results returned to the user include not only textual information (such as brand, price, description, etc.) of each item, but also visual information (ie, a picture of each item). [0003] In order to buy the desired product, the user will carefully check each product in the list based on the given information, which takes a lot of time. In order to...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62G06Q30/06
CPCG06Q30/06G06F18/253
Inventor 郭洋洋程志勇聂礼强许信顺
Owner SHANDONG UNIV
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